ML Dataset Report

Dataset statistics

Number of variables	17
Number of observations	2111
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	9
Duplicate rows (%)	0.4%
Total size in memory	1.3 MiB
Average record size in memory	641.9 B

Variable types

Categorical	5
Numeric	8
Boolean	4

Alerts

Dataset has 9 (0.4%) duplicate rows	Duplicates
`Gender` is highly overall correlated with `Height` and 1 other fields	High correlation
`Height` is highly overall correlated with `Gender`	High correlation
`NObeyesdad` is highly overall correlated with `Gender` and 2 other fields	High correlation
`Weight` is highly overall correlated with `NObeyesdad` and 1 other fields	High correlation
`family_history_with_overweight` is highly overall correlated with `NObeyesdad` and 1 other fields	High correlation
`CAEC` is highly imbalanced (58.1%)	Imbalance
`SMOKE` is highly imbalanced (85.4%)	Imbalance
`SCC` is highly imbalanced (73.3%)	Imbalance
`MTRANS` is highly imbalanced (57.1%)	Imbalance
`FAF` has 411 (19.5%) zeros	Zeros
`TUE` has 557 (26.4%) zeros	Zeros

Reproduction

Analysis started	2025-12-15 09:10:31.135130
Analysis finished	2025-12-15 09:10:46.526177
Duration	15.39 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

Gender
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	127.9 KiB

Male	1068
Female	1043

Length

Max length	6
Median length	4
Mean length	4.9881573
Min length	4

Characters and Unicode

Total characters	10530
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	1068	50.6%
Female	1043	49.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	1068	50.6%
female	1043	49.4%

Most occurring characters

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10530	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3154	30.0%
a	2111	20.0%
l	2111	20.0%
M	1068	10.1%
F	1043	9.9%
m	1043	9.9%

Age
Real number (ℝ)

Distinct	1402
Distinct (%)	66.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.3126

Minimum	14
Maximum	61
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	14
5-th percentile	17.891428
Q1	19.947192
median	22.77789
Q3	26
95-th percentile	38.09807
Maximum	61
Range	47
Interquartile range (IQR)	6.052808

Descriptive statistics

Standard deviation	6.3459683
Coefficient of variation (CV)	0.26101562
Kurtosis	2.826389
Mean	24.3126
Median Absolute Deviation (MAD)	3.22211
Skewness	1.5291004
Sum	51323.898
Variance	40.271313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	128	6.1%
26	101	4.8%
21	96	4.5%
23	89	4.2%
19	59	2.8%
20	48	2.3%
22	39	1.8%
17	30	1.4%
24	18	0.9%
25	16	0.8%
Other values (1392)	1487	70.4%

Value	Count	Frequency (%)
14	1	< 0.1%
15	1	< 0.1%
16	9	0.4%
16.093234	1	< 0.1%
16.129279	1	< 0.1%
16.172992	1	< 0.1%
16.198153	1	< 0.1%
16.240576	1	< 0.1%
16.270434	1	< 0.1%
16.30687	2	0.1%

Value	Count	Frequency (%)
61	1	< 0.1%
56	1	< 0.1%
55.24625	1	< 0.1%
55.137881	1	< 0.1%
55.022494	1	< 0.1%
55	2	0.1%
52	1	< 0.1%
51	1	< 0.1%
50.832559	1	< 0.1%
47.7061	1	< 0.1%

Height
Real number (ℝ)

High correlation

Distinct	1574
Distinct (%)	74.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.7016774

Minimum	1.45
Maximum	1.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1.45
5-th percentile	1.5482905
Q1	1.63
median	1.700499
Q3	1.768464
95-th percentile	1.85
Maximum	1.98
Range	0.53
Interquartile range (IQR)	0.138464

Descriptive statistics

Standard deviation	0.09330482
Coefficient of variation (CV)	0.054831088
Kurtosis	-0.56294889
Mean	1.7016774
Median Absolute Deviation (MAD)	0.069769
Skewness	-0.012854646
Sum	3592.2409
Variance	0.0087057894
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.7	60	2.8%
1.65	50	2.4%
1.6	43	2.0%
1.75	39	1.8%
1.62	36	1.7%
1.8	28	1.3%
1.72	19	0.9%
1.63	17	0.8%
1.67	16	0.8%
1.78	15	0.7%
Other values (1564)	1788	84.7%

Value	Count	Frequency (%)
1.45	1	< 0.1%
1.456346	1	< 0.1%
1.48	1	< 0.1%
1.481682	1	< 0.1%
1.483284	1	< 0.1%
1.486484	1	< 0.1%
1.489409	1	< 0.1%
1.491441	1	< 0.1%
1.498561	1	< 0.1%
1.5	13	0.6%

Value	Count	Frequency (%)
1.98	1	< 0.1%
1.975663	1	< 0.1%
1.947406	1	< 0.1%
1.942725	1	< 0.1%
1.931263	1	< 0.1%
1.930416	1	< 0.1%
1.93	2	0.1%
1.92	1	< 0.1%
1.919543	1	< 0.1%
1.918859	1	< 0.1%

Weight
Real number (ℝ)

High correlation

Distinct	1525
Distinct (%)	72.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.586058

Minimum	39
Maximum	173
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	39
5-th percentile	48.5
Q1	65.473343
median	83
Q3	107.43068
95-th percentile	131.91615
Maximum	173
Range	134
Interquartile range (IQR)	41.957339

Descriptive statistics

Standard deviation	26.191172
Coefficient of variation (CV)	0.30248717
Kurtosis	-0.69989816
Mean	86.586058
Median Absolute Deviation (MAD)	21.735215
Skewness	0.2554105
Sum	182783.17
Variance	685.97748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	59	2.8%
70	43	2.0%
50	42	2.0%
75	40	1.9%
60	37	1.8%
65	26	1.2%
42	22	1.0%
90	20	0.9%
78	19	0.9%
45	18	0.9%
Other values (1515)	1785	84.6%

Value	Count	Frequency (%)
39	1	< 0.1%
39.101805	1	< 0.1%
39.371523	1	< 0.1%
39.695295	1	< 0.1%
39.850137	1	< 0.1%
40	1	< 0.1%
40.202773	1	< 0.1%
40.343463	1	< 0.1%
41.220175	1	< 0.1%
41.268597	1	< 0.1%

Value	Count	Frequency (%)
173	1	< 0.1%
165.057269	1	< 0.1%
160.935351	1	< 0.1%
160.639405	1	< 0.1%
155.872093	1	< 0.1%
155.242672	1	< 0.1%
154.618446	1	< 0.1%
153.959945	1	< 0.1%
153.149491	1	< 0.1%
152.720545	1	< 0.1%

family_history_with_overweight
Boolean

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1726
False	385

Value	Count	Frequency (%)
True	1726	81.8%
False	385	18.2%

FAVC
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

True	1866
False	245

Value	Count	Frequency (%)
True	1866	88.4%
False	245	11.6%

FCVC
Real number (ℝ)

Distinct	810
Distinct (%)	38.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.4190431

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1.5232145
Q1	2
median	2.385502
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.53392658
Coefficient of variation (CV)	0.2207181
Kurtosis	-0.6375459
Mean	2.4190431
Median Absolute Deviation (MAD)	0.385502
Skewness	-0.43290583
Sum	5106.5999
Variance	0.28507759
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	652	30.9%
2	600	28.4%
1	33	1.6%
2.971574	2	0.1%
2.630137	2	0.1%
2.9673	2	0.1%
2.758394	2	0.1%
2.823179	2	0.1%
2.568063	2	0.1%
2.13683	2	0.1%
Other values (800)	812	38.5%

Value	Count	Frequency (%)
1	33	1.6%
1.003566	1	< 0.1%
1.005578	1	< 0.1%
1.00876	1	< 0.1%
1.031149	1	< 0.1%
1.036159	1	< 0.1%
1.036414	1	< 0.1%
1.052699	1	< 0.1%
1.053534	1	< 0.1%
1.063449	1	< 0.1%

Value	Count	Frequency (%)
3	652	30.9%
2.998441	1	< 0.1%
2.997951	1	< 0.1%
2.997524	1	< 0.1%
2.996717	1	< 0.1%
2.996186	1	< 0.1%
2.995599	1	< 0.1%
2.99448	1	< 0.1%
2.992329	1	< 0.1%
2.992205	1	< 0.1%

NCP
Real number (ℝ)

Distinct	635
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.685628

Minimum	1
Maximum	4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2.658738
median	3
Q3	3
95-th percentile	3.750881
Maximum	4
Range	3
Interquartile range (IQR)	0.341262

Descriptive statistics

Standard deviation	0.77803865
Coefficient of variation (CV)	0.28970454
Kurtosis	0.38552662
Mean	2.685628
Median Absolute Deviation (MAD)	0
Skewness	-1.1070973
Sum	5669.3608
Variance	0.60534414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1203	57.0%
1	199	9.4%
4	69	3.3%
2.77684	2	0.1%
2.644692	2	0.1%
3.559841	2	0.1%
1.104642	2	0.1%
3.985442	2	0.1%
3.691226	2	0.1%
1.73762	2	0.1%
Other values (625)	626	29.7%

Value	Count	Frequency (%)
1	199	9.4%
1.000283	1	< 0.1%
1.000414	1	< 0.1%
1.00061	1	< 0.1%
1.001383	1	< 0.1%
1.001542	1	< 0.1%
1.001633	1	< 0.1%
1.005391	1	< 0.1%
1.009426	1	< 0.1%
1.010319	1	< 0.1%

Value	Count	Frequency (%)
4	69	3.3%
3.999591	1	< 0.1%
3.998766	1	< 0.1%
3.998618	1	< 0.1%
3.995957	1	< 0.1%
3.995147	1	< 0.1%
3.994588	1	< 0.1%
3.990925	1	< 0.1%
3.98955	1	< 0.1%
3.989492	1	< 0.1%

CAEC
Categorical

Imbalance

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	135.9 KiB

Sometimes	1765
Frequently	242
Always	53
no	51

Length

Max length	10
Median length	9
Mean length	8.8702037
Min length	2

Characters and Unicode

Total characters	18725
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Sometimes
3rd row	Sometimes
4th row	Sometimes
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1765	83.6%
Frequently	242	11.5%
Always	53	2.5%
no	51	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	1765	83.6%
frequently	242	11.5%
always	53	2.5%
no	51	2.4%

Most occurring characters

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18725	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	4014	21.4%
m	3530	18.9%
t	2007	10.7%
s	1818	9.7%
o	1816	9.7%
S	1765	9.4%
i	1765	9.4%
y	295	1.6%
l	295	1.6%
n	293	1.6%
Other values (7)	1127	6.0%

SMOKE
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2067
True	44

Value	Count	Frequency (%)
False	2067	97.9%
True	44	2.1%

CH2O
Real number (ℝ)

Distinct	1268
Distinct (%)	60.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.0080114

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1.5848125
median	2
Q3	2.47742
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	0.8926075

Descriptive statistics

Standard deviation	0.61295345
Coefficient of variation (CV)	0.30525397
Kurtosis	-0.87939461
Mean	2.0080114
Median Absolute Deviation (MAD)	0.452986
Skewness	-0.10491164
Sum	4238.9121
Variance	0.37571193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	448	21.2%
1	211	10.0%
3	162	7.7%
1.636326	3	0.1%
2.825629	3	0.1%
1.876915	2	0.1%
2.450069	2	0.1%
1.490613	2	0.1%
2.115967	2	0.1%
2.13755	2	0.1%
Other values (1258)	1274	60.4%

Value	Count	Frequency (%)
1	211	10.0%
1.000463	1	< 0.1%
1.000536	1	< 0.1%
1.000544	1	< 0.1%
1.000695	1	< 0.1%
1.001307	1	< 0.1%
1.001995	1	< 0.1%
1.002292	1	< 0.1%
1.003063	1	< 0.1%
1.003563	1	< 0.1%

Value	Count	Frequency (%)
3	162	7.7%
2.999495	1	< 0.1%
2.994515	1	< 0.1%
2.993448	1	< 0.1%
2.991671	1	< 0.1%
2.989389	1	< 0.1%
2.988771	1	< 0.1%
2.987718	1	< 0.1%
2.987406	1	< 0.1%
2.984323	1	< 0.1%

SCC
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	2015
True	96

Value	Count	Frequency (%)
False	2015	95.5%
True	96	4.5%

FAF
Real number (ℝ)

Zeros

Distinct	1190
Distinct (%)	56.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0102977

Minimum	0
Maximum	3
Zeros	411
Zeros (%)	19.5%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.124505
median	1
Q3	1.6666775
95-th percentile	2.677133
Maximum	3
Range	3
Interquartile range (IQR)	1.5421725

Descriptive statistics

Standard deviation	0.85059243
Coefficient of variation (CV)	0.84192257
Kurtosis	-0.62058776
Mean	1.0102977
Median Absolute Deviation (MAD)	0.804157
Skewness	0.49848961
Sum	2132.7384
Variance	0.72350748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	411	19.5%
1	234	11.1%
2	183	8.7%
3	75	3.6%
1.228136	2	0.1%
1.541072	2	0.1%
1.661556	2	0.1%
1.097905	2	0.1%
0.245354	2	0.1%
0.288032	2	0.1%
Other values (1180)	1196	56.7%

Value	Count	Frequency (%)
0	411	19.5%
9.6 × 10^-5	1	< 0.1%
0.000272	1	< 0.1%
0.000454	1	< 0.1%
0.001015	1	< 0.1%
0.001086	1	< 0.1%
0.001272	1	< 0.1%
0.001297	1	< 0.1%
0.00203	1	< 0.1%
0.00342	1	< 0.1%

Value	Count	Frequency (%)
3	75	3.6%
2.999918	1	< 0.1%
2.998981	1	< 0.1%
2.971832	1	< 0.1%
2.939733	1	< 0.1%
2.936551	1	< 0.1%
2.931527	1	< 0.1%
2.892922	2	0.1%
2.891986	1	< 0.1%
2.89118	1	< 0.1%

TUE
Real number (ℝ)

Zeros

Distinct	1129
Distinct (%)	53.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.65786592

Minimum	0
Maximum	2
Zeros	557
Zeros (%)	26.4%
Negative	0
Negative (%)	0.0%
Memory size	16.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.62535
Q3	1
95-th percentile	2
Maximum	2
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.60892726
Coefficient of variation (CV)	0.92560997
Kurtosis	-0.5486604
Mean	0.65786592
Median Absolute Deviation (MAD)	0.484872
Skewness	0.61850241
Sum	1388.755
Variance	0.37079241
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	557	26.4%
1	292	13.8%
2	109	5.2%
0.630866	4	0.2%
1.119877	3	0.1%
0.0026	3	0.1%
0.828549	2	0.1%
0.105895	2	0.1%
0.369134	2	0.1%
1.339232	2	0.1%
Other values (1119)	1135	53.8%

Value	Count	Frequency (%)
0	557	26.4%
7.3 × 10^-5	1	< 0.1%
0.000355	1	< 0.1%
0.000436	1	< 0.1%
0.001096	1	< 0.1%
0.00133	1	< 0.1%
0.001337	1	< 0.1%
0.001518	1	< 0.1%
0.00159	1	< 0.1%
0.00164	1	< 0.1%

Value	Count	Frequency (%)
2	109	5.2%
1.99219	1	< 0.1%
1.990617	1	< 0.1%
1.983678	1	< 0.1%
1.980875	1	< 0.1%
1.978043	1	< 0.1%
1.972926	1	< 0.1%
1.97117	1	< 0.1%
1.969507	1	< 0.1%
1.967259	1	< 0.1%

CALC
Categorical

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	131.9 KiB

Sometimes	1401
no	639
Frequently	70
Always	1

Length

Max length	10
Median length	9
Mean length	6.9128375
Min length	2

Characters and Unicode

Total characters	14593
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	no
2nd row	Sometimes
3rd row	Frequently
4th row	Frequently
5th row	Sometimes

Common Values

Value	Count	Frequency (%)
Sometimes	1401	66.4%
no	639	30.3%
Frequently	70	3.3%
Always	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sometimes	1401	66.4%
no	639	30.3%
frequently	70	3.3%
always	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
l	71	0.5%
y	71	0.5%
Other values (7)	283	1.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
l	71	0.5%
y	71	0.5%
Other values (7)	283	1.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
l	71	0.5%
y	71	0.5%
Other values (7)	283	1.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14593	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2942	20.2%
m	2802	19.2%
o	2040	14.0%
t	1471	10.1%
s	1402	9.6%
S	1401	9.6%
i	1401	9.6%
n	709	4.9%
l	71	0.5%
y	71	0.5%
Other values (7)	283	1.9%

MTRANS
Categorical

Imbalance

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

Public_Transportation	1580
Automobile	457
Walking	56
Motorbike	11
Bike	7

Length

Max length	21
Median length	21
Mean length	18.128375
Min length	4

Characters and Unicode

Total characters	38269
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Public_Transportation
2nd row	Public_Transportation
3rd row	Public_Transportation
4th row	Walking
5th row	Public_Transportation

Common Values

Value	Count	Frequency (%)
Public_Transportation	1580	74.8%
Automobile	457	21.6%
Walking	56	2.7%
Motorbike	11	0.5%
Bike	7	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
public_transportation	1580	74.8%
automobile	457	21.6%
walking	56	2.7%
motorbike	11	0.5%
bike	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	38269	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	4096	10.7%
i	3691	9.6%
t	3628	9.5%
a	3216	8.4%
n	3216	8.4%
r	3171	8.3%
l	2093	5.5%
b	2048	5.4%
u	2037	5.3%
P	1580	4.1%
Other values (13)	9493	24.8%

NObeyesdad
Categorical

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	151.0 KiB

Obesity_Type_I	351
Obesity_Type_III	324
Obesity_Type_II	297
Overweight_Level_I	290
Overweight_Level_II	290
Other values (2)	559

Length

Max length	19
Median length	16
Mean length	16.192326
Min length	13

Characters and Unicode

Total characters	34182
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal_Weight
2nd row	Normal_Weight
3rd row	Normal_Weight
4th row	Overweight_Level_I
5th row	Overweight_Level_II

Common Values

Value	Count	Frequency (%)
Obesity_Type_I	351	16.6%
Obesity_Type_III	324	15.3%
Obesity_Type_II	297	14.1%
Overweight_Level_I	290	13.7%
Overweight_Level_II	290	13.7%
Normal_Weight	287	13.6%
Insufficient_Weight	272	12.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
obesity_type_i	351	16.6%
obesity_type_iii	324	15.3%
obesity_type_ii	297	14.1%
overweight_level_i	290	13.7%
overweight_level_ii	290	13.7%
normal_weight	287	13.6%
insufficient_weight	272	12.9%

Most occurring characters

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	34182	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	5095	14.9%
_	3663	10.7%
I	3059	8.9%
i	2655	7.8%
t	2383	7.0%
y	1944	5.7%
O	1552	4.5%
s	1244	3.6%
v	1160	3.4%
g	1139	3.3%
Other values (17)	10288	30.1%

	Age	CAEC	CALC	CH2O	FAF	FAVC	FCVC	Gender	Height	MTRANS	NCP	NObeyesdad	SCC	SMOKE	TUE	Weight	family_history_with_overweight
Age	1.000	0.157	0.163	0.013	-0.208	0.138	0.062	0.196	-0.003	0.350	-0.106	0.296	0.141	0.178	-0.298	0.357	0.239
CAEC	0.157	1.000	0.098	0.183	0.117	0.193	0.130	0.131	0.151	0.095	0.167	0.352	0.160	0.046	0.133	0.318	0.349
CALC	0.163	0.098	1.000	0.107	0.111	0.137	0.099	0.033	0.098	0.095	0.121	0.225	0.055	0.104	0.138	0.219	0.012
CH2O	0.013	0.183	0.107	1.000	0.156	0.195	0.066	0.238	0.225	0.090	0.070	0.235	0.131	0.075	0.023	0.226	0.233
FAF	-0.208	0.117	0.111	0.156	1.000	0.156	0.028	0.265	0.326	0.115	0.145	0.212	0.100	0.068	0.051	-0.044	0.159
FAVC	0.138	0.193	0.137	0.195	0.156	1.000	0.088	0.060	0.212	0.201	0.042	0.328	0.186	0.040	0.171	0.293	0.205
FCVC	0.062	0.130	0.099	0.066	0.028	0.088	1.000	0.347	-0.056	0.105	0.086	0.293	0.094	0.000	-0.088	0.208	0.121
Gender	0.196	0.131	0.033	0.238	0.265	0.060	0.347	1.000	0.616	0.162	0.162	0.556	0.098	0.035	0.131	0.396	0.099
Height	-0.003	0.151	0.098	0.225	0.326	0.212	-0.056	0.616	1.000	0.086	0.204	0.204	0.174	0.177	0.082	0.463	0.293
MTRANS	0.350	0.095	0.095	0.090	0.115	0.201	0.105	0.162	0.086	1.000	0.040	0.179	0.070	0.000	0.126	0.140	0.118
NCP	-0.106	0.167	0.121	0.070	0.145	0.042	0.086	0.162	0.204	0.040	1.000	0.245	0.045	0.028	0.087	0.003	0.190
NObeyesdad	0.296	0.352	0.225	0.235	0.212	0.328	0.293	0.556	0.204	0.179	0.245	1.000	0.235	0.111	0.217	0.575	0.540
SCC	0.141	0.160	0.055	0.131	0.100	0.186	0.094	0.098	0.174	0.070	0.045	0.235	1.000	0.033	0.129	0.235	0.181
SMOKE	0.178	0.046	0.104	0.075	0.068	0.040	0.000	0.035	0.177	0.000	0.028	0.111	0.033	1.000	0.058	0.129	0.000
TUE	-0.298	0.133	0.138	0.023	0.051	0.171	-0.088	0.131	0.082	0.126	0.087	0.217	0.129	0.058	1.000	-0.050	0.188
Weight	0.357	0.318	0.219	0.226	-0.044	0.293	0.208	0.396	0.463	0.140	0.003	0.575	0.235	0.129	-0.050	1.000	0.557
family_history_with_overweight	0.239	0.349	0.012	0.233	0.159	0.205	0.121	0.099	0.293	0.118	0.190	0.540	0.181	0.000	0.188	0.557	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
0	Female	21.0	1.62	64.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	0.0	1.0	no	Public_Transportation	Normal_Weight
1	Female	21.0	1.52	56.0	yes	no	3.0	3.0	Sometimes	yes	3.0	yes	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
2	Male	23.0	1.80	77.0	yes	no	2.0	3.0	Sometimes	no	2.0	no	2.0	1.0	Frequently	Public_Transportation	Normal_Weight
3	Male	27.0	1.80	87.0	no	no	3.0	3.0	Sometimes	no	2.0	no	2.0	0.0	Frequently	Walking	Overweight_Level_I
4	Male	22.0	1.78	89.8	no	no	2.0	1.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Public_Transportation	Overweight_Level_II
5	Male	29.0	1.62	53.0	no	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	0.0	Sometimes	Automobile	Normal_Weight
6	Female	23.0	1.50	55.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	0.0	Sometimes	Motorbike	Normal_Weight
7	Male	22.0	1.64	53.0	no	no	2.0	3.0	Sometimes	no	2.0	no	3.0	0.0	Sometimes	Public_Transportation	Normal_Weight
8	Male	24.0	1.78	64.0	yes	yes	3.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Frequently	Public_Transportation	Normal_Weight
9	Male	22.0	1.72	68.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad
2101	Female	25.722004	1.628470	107.218949	yes	yes	3.0	3.0	Sometimes	no	2.487070	no	0.067329	0.455823	Sometimes	Public_Transportation	Obesity_Type_III
2102	Female	25.765628	1.627839	108.107360	yes	yes	3.0	3.0	Sometimes	no	2.320068	no	0.045246	0.413106	Sometimes	Public_Transportation	Obesity_Type_III
2103	Female	21.016849	1.724268	133.033523	yes	yes	3.0	3.0	Sometimes	no	1.650612	no	1.537639	0.912457	Sometimes	Public_Transportation	Obesity_Type_III
2104	Female	21.682367	1.732383	133.043941	yes	yes	3.0	3.0	Sometimes	no	1.610768	no	1.510398	0.931455	Sometimes	Public_Transportation	Obesity_Type_III
2105	Female	21.285965	1.726920	131.335786	yes	yes	3.0	3.0	Sometimes	no	1.796267	no	1.728332	0.897924	Sometimes	Public_Transportation	Obesity_Type_III
2106	Female	20.976842	1.710730	131.408528	yes	yes	3.0	3.0	Sometimes	no	1.728139	no	1.676269	0.906247	Sometimes	Public_Transportation	Obesity_Type_III
2107	Female	21.982942	1.748584	133.742943	yes	yes	3.0	3.0	Sometimes	no	2.005130	no	1.341390	0.599270	Sometimes	Public_Transportation	Obesity_Type_III
2108	Female	22.524036	1.752206	133.689352	yes	yes	3.0	3.0	Sometimes	no	2.054193	no	1.414209	0.646288	Sometimes	Public_Transportation	Obesity_Type_III
2109	Female	24.361936	1.739450	133.346641	yes	yes	3.0	3.0	Sometimes	no	2.852339	no	1.139107	0.586035	Sometimes	Public_Transportation	Obesity_Type_III
2110	Female	23.664709	1.738836	133.472641	yes	yes	3.0	3.0	Sometimes	no	2.863513	no	1.026452	0.714137	Sometimes	Public_Transportation	Obesity_Type_III

Most frequently occurring

	Gender	Age	Height	Weight	family_history_with_overweight	FAVC	FCVC	NCP	CAEC	SMOKE	CH2O	SCC	FAF	TUE	CALC	MTRANS	NObeyesdad	# duplicates
7	Male	21.0	1.62	70.0	no	yes	2.0	1.0	no	no	3.0	no	1.0	0.0	Sometimes	Public_Transportation	Overweight_Level_I	15
3	Female	21.0	1.52	42.0	no	yes	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	4
0	Female	16.0	1.66	58.0	no	no	2.0	1.0	Sometimes	no	1.0	no	0.0	1.0	no	Walking	Normal_Weight	2
2	Female	21.0	1.52	42.0	no	no	3.0	1.0	Frequently	no	1.0	no	0.0	0.0	Sometimes	Public_Transportation	Insufficient_Weight	2
1	Female	18.0	1.62	55.0	yes	yes	2.0	3.0	Frequently	no	1.0	no	1.0	1.0	no	Public_Transportation	Normal_Weight	2
4	Female	22.0	1.69	65.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	1.0	1.0	Sometimes	Public_Transportation	Normal_Weight	2
5	Female	25.0	1.57	55.0	no	yes	2.0	1.0	Sometimes	no	2.0	no	2.0	0.0	Sometimes	Public_Transportation	Normal_Weight	2
6	Male	18.0	1.72	53.0	yes	yes	2.0	3.0	Sometimes	no	2.0	no	0.0	2.0	Sometimes	Public_Transportation	Insufficient_Weight	2
8	Male	22.0	1.74	75.0	yes	yes	3.0	3.0	Frequently	no	1.0	no	1.0	0.0	no	Automobile	Normal_Weight	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring